Waldmann, Moritz; Rüttgers, Mario; Lintermann, Andreas; Schröder, Wolfgang Virtual Surgeries of Nasal Cavities Using a Coupled Lattice-Boltzmann–Level-Set Approach Journal Article In: Journal of Engineering and Science in Medical Diagnostics and Therapy, vol. 5, iss. 3, 2022, ISSN: 2572-7958. @article{Waldmann2022,
title = {Virtual Surgeries of Nasal Cavities Using a Coupled Lattice-Boltzmann–Level-Set Approach},
author = {Waldmann, Moritz and Rüttgers, Mario and Lintermann, Andreas and Schröder, Wolfgang},
url = {https://asmedigitalcollection.asme.org/medicaldiagnostics/article/doi/10.1115/1.4054042/1139371/Virtual-Surgeries-of-Nasal-Cavities-Using-a},
doi = {10.1115/1.4054042},
issn = {2572-7958},
year = {2022},
date = {2022-03-31},
urldate = {2022-03-31},
journal = {Journal of Engineering and Science in Medical Diagnostics and Therapy},
volume = {5},
issue = {3},
abstract = {Fluid mechanical properties of respiratory flow such as pressure loss, temperature distribution, or wall-shear stress characterize the physics of a nasal cavity. Simulations based on computational fluid dynamics (CFD) methods are able to deliver in-depth details on respiration. Integrating such tools into virtual surgery environments may support physicians in their decision-making process. In this study, a lattice-Boltzmann (LB) flow solver is coupled to a level-set (LS) method to modify the shape of a nasal cavity at simulation run time in a virtual surgery. The geometry of a presurgical nasal cavity obtained from computer tomography (CT) datasets is smoothly adapted toward a postsurgical geometry given by the surgeon using an interpolation approach based on a LS method. The influence of the modification on the respiratory flow is analyzed in silico. The methods are evaluated by simulating a virtual surgery of a stenotic pipe and juxtaposing the results to cases using static geometries and by comparing them to literature findings. The results for both the stenotic pipe and the nasal cavity are in perfect agreement with the expected outcomes. For the nasal cavity, a shape is found that reduces the nasal resistance by 25.3% for inspiration at a volumetric flow rate of V˙=250 ml/s. The heating capability is retained despite the geometry modification. The simulation results support the surgeon in evaluating a planned surgery and in finding an improved surgery for the patient.},
keywords = {CFD Applications, Geometry, Lattice-Boltzmann method, Medizin, nasal cavity, Pipes, Pressure, Respiratory Flow Computation, Strömungssimulation, surgical indication},
pubstate = {published},
tppubtype = {article}
}
Fluid mechanical properties of respiratory flow such as pressure loss, temperature distribution, or wall-shear stress characterize the physics of a nasal cavity. Simulations based on computational fluid dynamics (CFD) methods are able to deliver in-depth details on respiration. Integrating such tools into virtual surgery environments may support physicians in their decision-making process. In this study, a lattice-Boltzmann (LB) flow solver is coupled to a level-set (LS) method to modify the shape of a nasal cavity at simulation run time in a virtual surgery. The geometry of a presurgical nasal cavity obtained from computer tomography (CT) datasets is smoothly adapted toward a postsurgical geometry given by the surgeon using an interpolation approach based on a LS method. The influence of the modification on the respiratory flow is analyzed in silico. The methods are evaluated by simulating a virtual surgery of a stenotic pipe and juxtaposing the results to cases using static geometries and by comparing them to literature findings. The results for both the stenotic pipe and the nasal cavity are in perfect agreement with the expected outcomes. For the nasal cavity, a shape is found that reduces the nasal resistance by 25.3% for inspiration at a volumetric flow rate of V˙=250 ml/s. The heating capability is retained despite the geometry modification. The simulation results support the surgeon in evaluating a planned surgery and in finding an improved surgery for the patient. | |
Koch, Gerda; Koch, Walter Developing an Online Training Module for ENT Students Miscellaneous EMBEC Abstract Book Contribution, 2020, ISBN: 978-961-243-411-3. @misc{GWK20,
title = {Developing an Online Training Module for ENT Students},
author = {Koch, Gerda and Koch, Walter},
editor = {Tomaž Jarm, Samo Mahnič-Kalamiza, Aleksandra Cvetkoska, Damijan Miklavčič},
url = {https://www.embec2020.org/wp-content/uploads/2020/11/EMBEC2020_Book_of_Abstracts.pdf},
isbn = {978-961-243-411-3},
year = {2020},
date = {2020-11-30},
abstract = {A particular problem area that ENT head and neck operations (ENT: Ear-Nose-Throat) have to deal with is the air flow in the nasal cavities and paranasal sinuses. The extension of morphological diagnostics by a detailed functional analysis, i.e. the visualization of the nasal airflow and the physical analysis of its energetic properties, is a burning problem. The simulation of air flow by means of CFD (Computational Fluid Dynamics) is nowadays gaining inimportance for diagnostics and the visualization and simulation of air flows from the nostrils to the nasopharynx primarily enables a precise and high-quality 3D reconstruction of the nasal cavities. However, the successive validation and interpretation of CFD simulation results is a challenge for non-CFD specialists. The introduction of these new technologies requires special education and training for both students and medical experts to learn how to use different tools and methods in thepreparation of an operation. The ”flipped classroom”, a kind of blended learning, is a preferred method to support knowledge transfer not only to students and staff but also among all kinds of different members within organizations.},
howpublished = {EMBEC Abstract Book Contribution},
keywords = {3D Reconstruction, CFD Applications, Education, Flipped Classroom, Training},
pubstate = {published},
tppubtype = {misc}
}
A particular problem area that ENT head and neck operations (ENT: Ear-Nose-Throat) have to deal with is the air flow in the nasal cavities and paranasal sinuses. The extension of morphological diagnostics by a detailed functional analysis, i.e. the visualization of the nasal airflow and the physical analysis of its energetic properties, is a burning problem. The simulation of air flow by means of CFD (Computational Fluid Dynamics) is nowadays gaining inimportance for diagnostics and the visualization and simulation of air flows from the nostrils to the nasopharynx primarily enables a precise and high-quality 3D reconstruction of the nasal cavities. However, the successive validation and interpretation of CFD simulation results is a challenge for non-CFD specialists. The introduction of these new technologies requires special education and training for both students and medical experts to learn how to use different tools and methods in thepreparation of an operation. The ”flipped classroom”, a kind of blended learning, is a preferred method to support knowledge transfer not only to students and staff but also among all kinds of different members within organizations. | |
Feng, Yu; Hayati, Hamideh; Bates, Alister J.; Walter, Koch; Matthias, Lehner; Odo, Benda; Ramiro, Ortiz; Gerda, Koch Clinical CFD Applications 2 Book Chapter In: Ithavong, Kiao; Singh, Narinder; Wong, Eurgene; Tu, Jiyuang (Ed.): Clinical and Biomedical Engineering in the Human Nose - A Computational Fluid Dynamics Approach, vol. 1, Chapter 10, pp. 225-253, Springer Nature Singapore Pte Ltd. 2021, 1, 2020, ISBN: 978-981-15-6715-5. @inbook{Koch2020,
title = {Clinical CFD Applications 2},
author = {Yu Feng and Hamideh Hayati and Alister J. Bates and Koch Walter and Lehner Matthias and Benda Odo and Ortiz Ramiro and Koch Gerda },
editor = {Ithavong, Kiao and Singh, Narinder and Wong, Eurgene and Tu, Jiyuang},
url = {https://link.springer.com/chapter/10.1007/978-981-15-6716-2_10},
doi = {10.1007/978-981-15-6716-2_10},
isbn = {978-981-15-6715-5},
year = {2020},
date = {2020-10-17},
booktitle = {Clinical and Biomedical Engineering in the Human Nose - A Computational Fluid Dynamics Approach},
volume = {1},
pages = {225-253},
publisher = {Springer Nature Singapore Pte Ltd. 2021},
edition = {1},
chapter = {10},
abstract = {This chapter is the second of the two chapters demonstrating the wide variety of CFD studies in clinical applications presented from leading researchers in their respective fields. This chapter covers the latest research techniques and outcomes in whole lung modelling; Modeling the Effect of Airway Motion Using Dynamic Imaging; and Automatic reconstruction of the nasal geometry from CT scans.},
keywords = {Artificial Intelligence, Automated Segmentation, CFD Applications, Convolutional Neural Networks, Mesh Generation, Nasal cavity flows},
pubstate = {published},
tppubtype = {inbook}
}
This chapter is the second of the two chapters demonstrating the wide variety of CFD studies in clinical applications presented from leading researchers in their respective fields. This chapter covers the latest research techniques and outcomes in whole lung modelling; Modeling the Effect of Airway Motion Using Dynamic Imaging; and Automatic reconstruction of the nasal geometry from CT scans. | |
